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# Platform Engineer For Enterprise Data Platforms

- **Company:** Enfint
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Automation of Tests, Cloud Computing, Cloud Engineering, Continuous Integration, Information Engineering, Data Infrastructure, Data Warehousing, DevOps, Github, Python (Programming Language), Meta-Data Management, Ansible, Enterprise Data Management, Data Processing, Scripting, Cloud Platform System, Sql Optimization, Information Technology, Atlassian Tools, AWS Fargate, Data Management, Terraform
- **Published:** September 18, 2026
- **Apply:** https://www.buscojobs.com.es/platform-engineer-for-enterprise-data-platforms-en-madrid-ID-372250802

## About the Role

More than 8 years of experience in data engineering, cloud engineering, platform engineering, or DevOps More than 5 years of experience with AWS cloud technologies More than 3 years of experience leading technical implementation initiatives Experience designing, evolving, or managing enterprise-scale data platforms in cloud environments Experience working in agile delivery environments with tools such as Jira and Confluence Ability to manage multiple priorities and meet tight deadlines AWS platform architecture Data platform design MWAA/Airflow Terraform Python ECS/Fargate Redshift CI/CD design and implementation with GitHub Actions Automation development using Ansible and scripting practices Data warehouse/lake concepts Advanced SQL proficiency Metadata management High-level English is essential ???????

## Description

????????CGI is an IT and business consulting services company founded in ****.It helps clients accelerate digital transformation by delivering comprehensive, scalable, and sustainable consulting services across 21 industries and 400 locations worldwide.??????Design, develop, and launch enterprise data platform capabilities on AWS Lead end-to-end technical solutions Translate architectural direction into reusable solutions, standards, security measures, and engineering accelerators Support existing AWS-based services Prepare the platform for future Lakehouse and modern data processing capabilities Contribute technically to platform evolution ??????????More than 8 years of experience in data engineering, cloud engineering, platform engineering, or DevOps More than 5 years of experience with AWS cloud technologies More than 3 years of experience leading technical implementation initiatives Experience designing, evolving, or managing enterprise-scale data platforms in cloud environments Experience working in agile delivery environments with tools such as Jira and Confluence Ability to manage multiple priorities and meet tight deadlines AWS platform architecture Data platform design MWAA/Airflow Terraform Python ECS/Fargate Redshift CI/CD design and implementation with GitHub Actions Automation development using Ansible and scripting practices Data warehouse/lake concepts Advanced SQL proficiency Metadata management High-level English is essential ???????Permanent contract under the XIX State Collective Agreement for consulting, information technology, and market and public opinion research companies Competitive compensation package including meal voucher, transport card, life and accident insurance, and other benefits Global Share Purchase Plan participation from the first day Flexible career plan adapted to individual expectations Continuous training, access to official certifications, and internal knowledge communities Opportunities to work with global experts and apply international best practices locally Flexible working hours Continuous working hours on Fridays Reduced working hours during summer months Extra non-working days Local and global health and wellness programs Social impact and sustainability initiatives#J-*****-Ljbffr


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